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Explore a comprehensive 15-minute video demonstrating how to enhance a Climate RAG chatbot for production using Weights & Biases Weave. Learn from advanced customer experiences as the video guides you through an iterative improvement process for a RAG application. Discover techniques for production tracing, systematic benchmarking, and incorporating user and expert annotator feedback. Gain insights into LLMs in industry, Weave's introduction, prototyping, production monitoring, qualitative assessment, user feedback integration, systematic benchmarking with evaluation datasets, and periodic optimization of models and evaluations. Access the project's cookbook, GitHub code for the Climate RAG, and additional in-depth guides and cookbooks for further exploration.
Syllabus
LLMs in Industry
Intro to Weave
Prototyping and Production Monitoring
Qualitative Assessment and User Feedback
Systematic Benchmarking with Evaluation Datasets
Periodic Optimization of Models and Evaluations
Closing and CTA
Taught by
Weights & Biases